Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Coherent integration method based on dynamic programming and back image projection algorithm

A technology of dynamic programming and coherent accumulation, which is used in radar detection and tracking of low observable targets, target detection and tracking in radar systems, and can solve the problems of accumulation result error, speed ambiguity distance walking correction, and large data processing volume.

Inactive Publication Date: 2012-07-25
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional non-coherent detection-before-tracking algorithm requires more frames of echo data to accumulate than the coherent detection-before-tracking algorithm in order to achieve good detection performance, so the amount of data processing is large
At the same time, the existing coherent accumulation algorithm has the problem of speed ambiguity and distance walking correction, and there is a certain error in the accumulation result

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Coherent integration method based on dynamic programming and back image projection algorithm
  • Coherent integration method based on dynamic programming and back image projection algorithm
  • Coherent integration method based on dynamic programming and back image projection algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0108] The present invention mainly adopts the method of computer simulation to verify, and all steps and conclusions are verified correctly on MATLAB-R2010b. The specific implementation steps are as follows:

[0109] Step 1. Initialization of relevant parameters of the multi-frame coherent accumulation target detection pre-tracking method based on dynamic programming and post-image projection algorithm

[0110] The parameters that need to be initialized in this method are as follows: the speed of light C=300000Km / s; the carrier frequency F of the radar emission pulse c =100MHZ; the radar scanning period is T=2s; the bandwidth B=10MHZ of the radar emission pulse; the frequency modulation slope b=10THZ / s of the radar emission pulse; the duration T of the radar emission pulse p = 1μs; the distance resolution of the radar δ r =20m; the number of radar data frames for coherent processing is K=3; the number of azimuths that the radar scanning space is divided into is N=80; the sa...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a tracing accumulation method of coherent detection based on dynamic programming and a back image projection algorithm, comprising the following steps of: obtaining a predication track of a target through the dynamic programming; and then carrying out energy accumulation through the back image projection algorithm to improve an output signal to noise ratio, so as to realize the detection on a low observable target. Compared with a non-coherent TBD (Track Before Detect) algorithm, the method uses phase information of an echo signal when inter-frame accumulation is carried out, and coherent accumulation is carried out on a multi-frame echo to improve an output signal to noise ratio and further improve the detection efficiency; a distance migration compensation is directly carried out on a time domain, so that approximate unfolding of a target distance does not need to be carried out, and Doppler migration of a target is not considered; and therefore, an accumulation error is reduced, the detection possibility and the detection precision are improved, and the false alarm probability is reduced.

Description

Technical field: [0001] The invention belongs to the technical field of target detection and tracking in radar systems, and particularly relates to the technical field of radar detection and tracking of low observable targets (also known as weak targets) under the condition of low signal-to-noise ratio. Background technique: [0002] With the development of target stealth technology, the use of new wave-absorbing materials and the continuous development and improvement of stealth technologies such as changing the geometric shape of objects, the radar target reflection area (RCS) of radar detection targets has been reduced by several orders of magnitude. This poses a serious challenge to the radar to detect targets and improve its own survivability. Therefore, the detection and tracking of low-observable targets has become an important research direction of radar. It is known from previous studies that the signal-to-noise ratio can be improved by increasing the number of pul...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01S7/41G01S7/48G01S7/539
Inventor 张晓玲张也
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products